There are several ways to measure the agreement between
model predictions and human eye fixations. Previous studies on saliency metrics [1]} show that it's hard to achieve a fair comparison for
evaluating saliency models by any single metric. Here, we carried out our quantitative experiments by comprehensively considering a variety of different metrics, including Earth Mover¡¯s Distance (EMD),
Normalized Scanpath Saliency (NSS), Similarity Metric (SIM), Linear Correlation
Coefficient (CC), AUC-Judd, AUC-Borji, and shuffled AUC. Those metrics are selected since they are widely-accepted and standard for evaluating a saliency model.
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